Dough sheeting is an important unit operation in the manufacture of
noodles, pasta and other food products. The material properties of the
dough during the sheeting process significantly impact the quality of
the final product. Several investigators have proposed harnessing
operational parameters during the sheeting operation, notably power
consumption, to determine the dough rheological properties online.
Scientists at Purdue University wanted to determine if the
rheological property of dough can be characterized online by measuring
power consumption during sheeting operations. They used a laboratory
sheeter to test dough made from all-purpose, bread and durum flours.
Bread flour is a high-gluten flour that has very small amounts of malted
barley flour and vitamin C or potassium bromate added to it. All-purpose
flour is made from a blend of high- and low-gluten wheats, and has a bit
less protein than bread flour--11% or 12% compared with 13% or 14%.
Semolina is the endosperm or heart of the durum wheat kernel, a hard
wheat variety with very high gluten content and a high
protein-to-carbohydrate ratio. Durum wheat is more coarsely ground than
other flours. The milling process separates the endosperm from the rest
of the grain. Durum flour is finely ground semolina (endosperm).
The dough was sheeted at various height and roller gaps.
Researchers measured the power consumption of the sheet motor in order
to characterize dough rheological properties. They used a mathematical
model based on the motor's lubrication approximation.
To validate the results, the rheological properties of these
materials were measured offline using a capillary viscometer. The online
rheological measurement from the sheeting operation was in very good
agreement with the offline capillary rheometry for the all-purpose,
bread and durum flours.
The results indicate that online rheological characterization can
be performed by measuring such operational parameters as sheeting power.
The power law model is appropriate to use to describe the rheology of
dough in order to characterize its rheology online. These findings can
be harnessed for online quality control of dough during sheeting
operations. There may be some opportunities to continue this work in
cooperation with a cereal company.
Further information. Osvaldo Campanella, Department of Agricultural
and Biological Engineering, FS-2151, Purdue University, 225 South
University St., West Lafayette, IN 47907; phone: 765-496-6330; fax:
765-496-1115; email: campa@purdue.edu.
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